Towards User-Centric Rate Adaptations for VoIP Traffic
نویسندگان
چکیده
Voice traffic by nature is high in data volume and sensitive to network impairments. Bandwidth requirement for voice calls is, therefore, higher. An increasingly serious dilemma, as the amount of VoIP traffic increases, is that it will not be fair to give priority to the multimedia traffic and starve its best-effort counter part; yet the voice data delivered might not be perceptible if each voice call is limited to the rate of an average TCP flow. We propose to approach this problem from a user-centric view and adapt the sending rate of the voice calls based on the user satisfaction. Such a user-friendly rate adaptation mechanism will also be congestion-friendly, although not strictly TCP-friendly [1]. There has not been a promising rate adaptation mechanism yet for userand congestion-friendly VoIP services. In [2], the authors propose a TCP-like rate adaptation mechanism. In that, the sending rate is adjusted in an additive-increase-multiplicative-decrease fashion based on the measured loss rate and delay. [3] [4] propose to use speech quality indicator such as E-Model as the metrics to adapt the sending rate. However, the number of parameters required to calculate the E-Model value is high, twenty-one to be exact. Some parameters such as mouthto-ear delay are not easily accessible. Many of the parameters are over-simplified in the existing works. Exploiting the User Satisfaction Index (USI) derived from a recent study on Skype traffic [5], we propose a rate adaptation mechanism for Skype voice call which requires only 3 parameters that can be measured and computed in real time. Although the USI is specific to the voice codec used by Skype and might not be generally applicable for all VoIP calls, our work serves as a necessary next step towards user-centric rate adaptation for VoIP traffic on the Internet. The preliminary experimental results show that rate adaptation mechanisms based on USI may result in more satisfying voice communication experience. *
منابع مشابه
The ADAMANTIUM Multimedia Content Manage- ment System for Real Time Cross-Layer Adaptation of IPTV and VoIP Services over IMS
IMS entails novel business opportunities for pioneering and emerging multimedia services, such as IPTV and VoIP video call applications. However, this strong commercial interest on this promising convergent IMS environment is balanced by the lack of efficient user/customer-centric network management mechanisms. ADAMANTIUM proposes an IMS-compatible Multimedia Content Management System (MCMS) fo...
متن کاملAn Affect-based Approach for QoE evaluation in VoIP Systems
The success of VoIP systems such as Skype, Google Talk, MSN Messenger, etc. have inspired the migration of voice communication from the Public Switched Telephone Network (PSTN) to the Internet. The inherent challenges for designing VoIP systems are due to the particular characteristics of voice communication such as low volume, burstiness and stringent delay/loss requirements which is different...
متن کاملPerceptually Enabled and User Centric IMS Architecture: The ADAMANTIUM Project
The predominant candidate for current trend of multimedia services convergence with mobile/fixed networks and broadcast-interactive applications is the IP Multimedia Subsystem (IMS). IMS entails novel business opportunities for pioneering and emerging multimedia services, such as IPTV and VoIP video call applications. However, this strong commercial interest on this promising convergent IMS env...
متن کاملTowards the Quality of Service for VoIP traffic in IEEE 802.11 Wireless Networks
The usage of voice over IP (VoIP) traffic in IEEE 802.11 wireless networks is expected to increase in the near future due to widely deployed 802.11 wireless networks and VoIP services on fixed lines. However, the quality of service (QoS) of VoIP traffic in wireless networks is still unsatisfactory. In this thesis, I identify several sources for the QoS problems of VoIP traffic in IEEE 802.11 wi...
متن کاملOn user-centric QoE prediction for VoIP and video based on machine-learning
Assessing the impact of different network conditions on user experience is important for improving the telecommunication services. We have developed the MLQoE, a modular algorithm for user-centric QoE prediction. The MLQoE employs several machine learning (ML) algorithms and tunes their hyper-parameters. It selects the ML algorithm that exhibits the best performance and its parameters automatic...
متن کامل